{"id":"W6930880800","doi":"10.5281/zenodo.2555366","title":"Research Portal for Secure Data Discovery, Access and Collaboration","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Indoc Research","funders":"","keywords":"Neuroinformatics; Summit; Presentation (obstetrics); Data access; Interoperability; Data sharing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01171923,0.001560988,0.00197205,0.00307821,0.001662327,0.008574607,0.002895149,0.003851682,0.2569672],"category_scores_gemma":[0.02695065,0.001164801,0.001373324,0.004290597,0.001019114,0.010046,0.01283089,0.004935429,0.2518964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137292,"about_ca_system_score_gemma":0.003537678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184612,"about_ca_topic_score_gemma":0.001127179,"domain_scores_codex":[0.9946524,0.001645041,0.0006535773,0.0006033659,0.001896126,0.0005495393],"domain_scores_gemma":[0.9805966,0.004235988,0.0006619667,0.007252031,0.003604392,0.003648937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004509474,0.00005841775,0.0002286249,0.0003165086,0.00004146768,0.0001681213,0.0001123432,0.0003106073,0.002285114,0.02576478,0.8709437,0.0993194],"study_design_scores_gemma":[0.00016609,0.00004479293,0.0002618759,0.0001110621,0.00001459449,0.0001807128,0.00005237099,0.0018382,0.001930811,0.02507547,0.9702858,0.00003818029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002094488,0.005429955,0.4711526,0.04248315,0.01071144,0.001541602,0.06403073,0.2539982,0.1485579],"genre_scores_gemma":[0.06871805,0.01210849,0.2905861,0.01878178,0.009275358,0.006123138,0.2244345,0.05846142,0.311511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2569672,"threshold_uncertainty_score":0.8596408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04915218039377244,"score_gpt":0.3351256223938401,"score_spread":0.2859734420000676,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}